Literature DB >> 18676744

Prospective study of the accuracy of EGFR mutational analysis by high-resolution melting analysis in small samples obtained from patients with non-small cell lung cancer.

Tomoya Fukui1, Yuichiro Ohe, Koji Tsuta, Koh Furuta, Hiromi Sakamoto, Toshimi Takano, Hiroshi Nokihara, Noboru Yamamoto, Ikuo Sekine, Hideo Kunitoh, Hisao Asamura, Takaaki Tsuchida, Masahiro Kaneko, Masahiko Kusumoto, Seiichiro Yamamoto, Teruhiko Yoshida, Tomohide Tamura.   

Abstract

PURPOSE: Epidermal growth factor receptor (EGFR) mutations, especially in-frame deletions in exon 19 (DEL) and a point mutation in exon 21 (L858R), predict gefitinib sensitivity in patients with non-small cell lung cancer (NSCLC). In this study, we verified the accuracy of EGFR mutation analysis in small samples by high-resolution melting analysis (HRMA), which is a rapid method using PCR amplification with a dye to analyze the melting curves in NSCLC. EXPERIMENTAL
DESIGN: We designed a prospective study to compare the sensitivity and specificity of HRMA and DNA sequencing with laser capture microdissection. Eligible patients with lung lesions were screened by bronchoscopy or percutaneous needle biopsy to histologically confirm the diagnosis, followed by surgical resection of the NSCLC. Small diagnostic specimens were analyzed for EGFR mutations by HRMA, and the surgically resected specimens were examined for mutations by HRMA and DNA sequencing.
RESULTS: The analyses for EGFR mutations were conducted in 52 eligible cases of the 92 enrolled patients. EGFR mutations were detected in 18 (34.6%) patients. The results of HRMA from surgically resected specimens as well as DNA sequencing revealed 100% sensitivity and specificity. On the other hand, the sensitivity and specificity of HRMA from the small diagnostic specimens were 83.3% and 100%, respectively.
CONCLUSIONS: In this study, we showed that HRMA is a highly accurate method for detecting DEL and L858R mutations in patients with NSCLC, although it is necessary to consider the identification of patients with a false-negative result when the analysis is conducted using small samples.

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Year:  2008        PMID: 18676744     DOI: 10.1158/1078-0432.CCR-07-5207

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  25 in total

1.  Assessment of epidermal growth factor receptor and K-ras mutation status in cytological stained smears of non-small cell lung cancer patients: correlation with clinical outcomes.

Authors:  Maria D Lozano; Javier J Zulueta; Jose I Echeveste; Alfonso Gúrpide; Luis M Seijo; Salvador Martín-Algarra; Anabel Del Barrio; Ruben Pio; Miguel Angel Idoate; Tania Labiano; Jose Luis Perez-Gracia
Journal:  Oncologist       Date:  2011-05-14

2.  Detection of epidermal growth factor receptor mutations in a few cancer cells from transbronchial cytologic specimens by reverse transcriptase-polymerase chain reaction.

Authors:  Nobuhiro Kanaji; Shuji Bandoh; Tomoya Ishii; Yoshio Kushida; Reiji Haba; Kohoji Kohno; Hiroaki Dobashi; Hiroaki Ohnishi; Takuya Matsunaga
Journal:  Mol Diagn Ther       Date:  2011-12-01       Impact factor: 4.074

3.  Multiplex amplification coupled with COLD-PCR and high resolution melting enables identification of low-abundance mutations in cancer samples with low DNA content.

Authors:  Coren A Milbury; Clark C Chen; Harvey Mamon; Pingfang Liu; Sandro Santagata; G Mike Makrigiorgos
Journal:  J Mol Diagn       Date:  2011-03       Impact factor: 5.568

4.  Phase II study of erlotinib for previously treated patients with EGFR wild-type non-small-cell lung cancer, following EGFR mutation status reevaluation with the Scorpion Amplified Refractory Mutation System.

Authors:  Masahiro Morise; Hiroyuki Taniguchi; Hideo Saka; Joe Shindoh; Ryujiro Suzuki; Eiji Kojima; Tetsunari Hase; Masahiko Ando; Masashi Kondo; Hiroshi Saito; Yoshinori Hasegawa
Journal:  Mol Clin Oncol       Date:  2014-07-22

5.  Rapid and efficient detection of EGFR mutations in problematic cytologic specimens by high-resolution melting analysis.

Authors:  Katarina Hlinkova; Pavel Babál; Peter Berzinec; Ivan Majer; Denisa Ilencikova
Journal:  Mol Diagn Ther       Date:  2011-02-01       Impact factor: 4.074

6.  COLD-PCR: improving the sensitivity of molecular diagnostics assays.

Authors:  Coren A Milbury; Jin Li; Pingfang Liu; G Mike Makrigiorgos
Journal:  Expert Rev Mol Diagn       Date:  2011-03       Impact factor: 5.225

7.  Novel epidermal growth factor receptor mutation-specific antibodies for non-small cell lung cancer: immunohistochemistry as a possible screening method for epidermal growth factor receptor mutations.

Authors:  Yasufumi Kato; Nir Peled; Murry W Wynes; Koichi Yoshida; Marta Pardo; Celine Mascaux; Tatsuo Ohira; Masahiro Tsuboi; Jun Matsubayashi; Toshitaka Nagao; Norihiko Ikeda; Fred R Hirsch
Journal:  J Thorac Oncol       Date:  2010-10       Impact factor: 15.609

8.  COLD-PCR-enhanced high-resolution melting enables rapid and selective identification of low-level unknown mutations.

Authors:  Coren A Milbury; Jin Li; G Mike Makrigiorgos
Journal:  Clin Chem       Date:  2009-10-08       Impact factor: 8.327

9.  Molecular testing guideline for selection of lung cancer patients for EGFR and ALK tyrosine kinase inhibitors: guideline from the College of American Pathologists, International Association for the Study of Lung Cancer, and Association for Molecular Pathology.

Authors:  Neal I Lindeman; Philip T Cagle; Mary Beth Beasley; Dhananjay Arun Chitale; Sanja Dacic; Giuseppe Giaccone; Robert Brian Jenkins; David J Kwiatkowski; Juan-Sebastian Saldivar; Jeremy Squire; Erik Thunnissen; Marc Ladanyi
Journal:  J Thorac Oncol       Date:  2013-07       Impact factor: 15.609

10.  Molecular testing guideline for selection of lung cancer patients for EGFR and ALK tyrosine kinase inhibitors: guideline from the College of American Pathologists, International Association for the Study of Lung Cancer, and Association for Molecular Pathology.

Authors:  Neal I Lindeman; Philip T Cagle; Mary Beth Beasley; Dhananjay Arun Chitale; Sanja Dacic; Giuseppe Giaccone; Robert Brian Jenkins; David J Kwiatkowski; Juan-Sebastian Saldivar; Jeremy Squire; Erik Thunnissen; Marc Ladanyi
Journal:  Arch Pathol Lab Med       Date:  2013-04-03       Impact factor: 5.534

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